Topology Aware Fully Convolutional Networks for Histology Gland Segmentation

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Automatic segmentation of colon glands using object-graphs

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Local Optimization Based Segmentation of Spatially-Recurring, Multi-Region Objects With Part Configuration Constraints

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Gland Segmentation in Colon Histology Images: The GlaS Challenge ContestPreprint

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Bounded Labeling Function for Global Segmentation of Multi-part Objects with Geometric Constraints

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A survey on deep learning in medical image analysis

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Deep learning-enabled medical computer vision

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Anatomically constrained neural networks (ACNNS): application to cardiac image enhancement and segmentation

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Deep neural network models for computational histopathology: A survey

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Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks

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A review on deep learning in medical image analysis

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Combo loss: Handling input and output imbalance in multi-organ segmentation

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The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis

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An application of cascaded 3D fully convolutional networks for medical image segmentation

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A survey on incorporating domain knowledge into deep learning for medical image analysis

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RIC-Unet: An Improved Neural Network Based on Unet for Nuclei Segmentation in Histology Images

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KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation

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Regularization for Deep Learning: A TaxonomyPreprint

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EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection

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Attention-Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images

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RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification

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Deep learning in digital pathology image analysis: a survey

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Learning and Incorporating Shape Models for Semantic Segmentation

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Multiple instance learning for digital pathology: A review of the state-of-the-art, limitations & future potential

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Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation

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Fully automatic cervical vertebrae segmentation framework for X-ray images

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Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential

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High-level prior-based loss functions for medical image segmentation: A survey

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Structured layer surface segmentation for retina OCT using fully convolutional regression networks

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Medical Image Segmentation With Limited Supervision: A Review of Deep Network Models

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Artificial intelligence for microscopy: what you should know

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Generative Adversarial Networks for Facilitating Stain-Independent Supervised and Unsupervised Segmentation: A Study on Kidney Histology

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Tertiary lymphoid structures (TLS) identification and density assessment on H&E-stained digital slides of lung cancer

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Current Trends of Artificial Intelligence for Colorectal Cancer Pathology Image Analysis: A Systematic Review

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Dual-Path Adversarial Learning for Fully Convolutional Network (FCN)-Based Medical Image Segmentation

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Analysis of Histopathology Images

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Automatic Liver Lesion Detection using Cascaded Deep Residual NetworksPreprint

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Post-DAE: Anatomically Plausible Segmentation via Post-Processing With Denoising Autoencoders

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CNN cascades for segmenting sparse objects in gigapixel whole slide images

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BB-UNet: U-Net With Bounding Box Prior

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Topological deep learning: a review of an emerging paradigm

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Deep learning based topology guaranteed surface and MME segmentation of multiple sclerosis subjects from retinal OCT.

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CNN cascades for segmenting sparse objects in gigapixel whole slide images

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Accurate Gastric Cancer Segmentation in Digital Pathology Images Using Deformable Convolution and Multi-Scale Embedding Networks

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clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation

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Structure Prediction for Gland Segmentation With Hand-Crafted and Deep Convolutional Features

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Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation

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Statistical Karyotype Analysis Using CNN and Geometric Optimization

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A Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR

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A Deep Learning Design for Improving Topology Coherence in Blood Vessel Segmentation

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Data Augmentation in Training Deep Learning Models for Medical Image Analysis

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Towards Topological Correct Segmentation of Macular OCT from Cascaded FCNs

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Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders

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Shape-Aware Deep Convolutional Neural Network for Vertebrae Segmentation

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Learning Topological Interactions for Multi-Class Medical Image Segmentation

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Which Way Round? A Study on the Performance of Stain-Translation for Segmenting Arbitrarily Dyed Histological Images

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Intra- and Inter-Pair Consistency for Semi-Supervised Gland Segmentation

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Artificial intelligence and digital pathology: Opportunities and implications for immuno-oncology

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Efficient deep learning architecture with dimension-wise pyramid pooling for nuclei segmentation of histopathology images

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Removing segmentation inconsistencies with semi-supervised non-adjacency constraint

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Deep learning segmentation for optical coherence tomography measurements of the lower tear meniscus

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Neural multi-atlas label fusion: Application to cardiac MR images

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A Deep Level Set Method for Image Segmentation

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Domain‐specific data augmentation for segmenting MR images of fatty infiltrated human thighs with neural networks

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LF-UNet – A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images

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Prior-aware autoencoders for lung pathology segmentation

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A Persistent Homology-Based Topological Loss Function for Multi-class CNN Segmentation of Cardiac MRI

Byrne, N., Clough, J. R., Montana, G., & King, A. P. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-68107-4_1 · Cited by 29 · see citing works

The semiotics of medical image Segmentation

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Pairwise learning for medical image segmentation

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Segmentation and classification of knee joint ultrasonic image via deep learning

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Nuclei-Guided Network for Breast Cancer Grading in HE-Stained Pathological Images

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Towards Automatic 3D Shape Instantiation for Deployed Stent Grafts: 2D Multiple-class and Class-imbalance Marker Segmentation with Equally-weighted Focal U-Net

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Joint Deep Learning of Foreground, Background and Shape for Robust Contextual Segmentation

Ravishankar, H., Thiruvenkadam, S., Venkataramani, R., & Vaidya, V. (2017) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-59050-9_49 · Cited by 23 · see citing works

Hierarchical Multi-class Segmentation of Glioma Images Using Networks with Multi-level Activation Function

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Uncertainty Driven Multi-loss Fully Convolutional Networks for Histopathology

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Weakly-Supervised 3D Medical Image Segmentation Using Geometric Prior and Contrastive Similarity

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Segmentation of Skeleton and Organs in Whole-Body CT Images via Iterative Trilateration

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Neuron Segmentation Using Deep Complete Bipartite Networks

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State of machine and deep learning in histopathological applications in digestive diseases

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Unbiased Shape Compactness for Segmentation

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A dense multi-path decoder for tissue segmentation in histopathology images

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Edge-aware Fully Convolutional Network with CRF-RNN Layer for Hippocampus Segmentation

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Active Learning for Patch-Based Digital Pathology Using Convolutional Neural Networks to Reduce Annotation Costs

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Structural Priors Guided Network for the Corneal Endothelial Cell Segmentation

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NANet: Nuclei-Aware Network for Grading of Breast Cancer in HE Stained Pathological Images

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A Fully Convolutional Network for Signature Segmentation from Document Images

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A Line to Align: Deep Dynamic Time Warping for Retinal OCT Segmentation

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I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation

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TA-Net: Topology-Aware Network for Gland Segmentation

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Introducing soft topology constraints in deep learning-based segmentation using projected pooling loss

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Deep learning meets topology-preserving active contours: towards scalable quantitative histology of cortical cytoarchitecture.Preprint

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A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology

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Topology-Aware Segmentation Using Discrete Morse Theory

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